Sophia Apostolidou
University College London
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Featured researches published by Sophia Apostolidou.
The Lancet | 2016
Ian Jacobs; Usha Menon; Andy Ryan; Aleksandra Gentry-Maharaj; Matthew Burnell; Jatinderpal Kalsi; Nazar Najib Amso; Sophia Apostolidou; Elizabeth Benjamin; Derek Cruickshank; Danielle N Crump; Susan K Davies; Anne Dawnay; Stephen Dobbs; Gwendolen Fletcher; Jeremy Ford; Keith M. Godfrey; Richard Gunu; Mariam Habib; Rachel Hallett; Jonathan Herod; Howard Jenkins; Chloe Karpinskyj; Simon Leeson; Sara Lewis; William R Liston; Alberto Lopes; Tim Mould; John Murdoch; David H. Oram
Summary Background Ovarian cancer has a poor prognosis, with just 40% of patients surviving 5 years. We designed this trial to establish the effect of early detection by screening on ovarian cancer mortality. Methods In this randomised controlled trial, we recruited postmenopausal women aged 50–74 years from 13 centres in National Health Service Trusts in England, Wales, and Northern Ireland. Exclusion criteria were previous bilateral oophorectomy or ovarian malignancy, increased risk of familial ovarian cancer, and active non-ovarian malignancy. The trial management system confirmed eligibility and randomly allocated participants in blocks of 32 using computer-generated random numbers to annual multimodal screening (MMS) with serum CA125 interpreted with use of the risk of ovarian cancer algorithm, annual transvaginal ultrasound screening (USS), or no screening, in a 1:1:2 ratio. The primary outcome was death due to ovarian cancer by Dec 31, 2014, comparing MMS and USS separately with no screening, ascertained by an outcomes committee masked to randomisation group. All analyses were by modified intention to screen, excluding the small number of women we discovered after randomisation to have a bilateral oophorectomy, have ovarian cancer, or had exited the registry before recruitment. Investigators and participants were aware of screening type. This trial is registered with ClinicalTrials.gov, number NCT00058032. Findings Between June 1, 2001, and Oct 21, 2005, we randomly allocated 202 638 women: 50 640 (25·0%) to MMS, 50 639 (25·0%) to USS, and 101 359 (50·0%) to no screening. 202 546 (>99·9%) women were eligible for analysis: 50 624 (>99·9%) women in the MMS group, 50 623 (>99·9%) in the USS group, and 101 299 (>99·9%) in the no screening group. Screening ended on Dec 31, 2011, and included 345 570 MMS and 327 775 USS annual screening episodes. At a median follow-up of 11·1 years (IQR 10·0–12·0), we diagnosed ovarian cancer in 1282 (0·6%) women: 338 (0·7%) in the MMS group, 314 (0·6%) in the USS group, and 630 (0·6%) in the no screening group. Of these women, 148 (0·29%) women in the MMS group, 154 (0·30%) in the USS group, and 347 (0·34%) in the no screening group had died of ovarian cancer. The primary analysis using a Cox proportional hazards model gave a mortality reduction over years 0–14 of 15% (95% CI −3 to 30; p=0·10) with MMS and 11% (−7 to 27; p=0·21) with USS. The Royston-Parmar flexible parametric model showed that in the MMS group, this mortality effect was made up of 8% (−20 to 31) in years 0–7 and 23% (1–46) in years 7–14, and in the USS group, of 2% (−27 to 26) in years 0–7 and 21% (−2 to 42) in years 7–14. A prespecified analysis of death from ovarian cancer of MMS versus no screening with exclusion of prevalent cases showed significantly different death rates (p=0·021), with an overall average mortality reduction of 20% (−2 to 40) and a reduction of 8% (−27 to 43) in years 0–7 and 28% (−3 to 49) in years 7–14 in favour of MMS. Interpretation Although the mortality reduction was not significant in the primary analysis, we noted a significant mortality reduction with MMS when prevalent cases were excluded. We noted encouraging evidence of a mortality reduction in years 7–14, but further follow-up is needed before firm conclusions can be reached on the efficacy and cost-effectiveness of ovarian cancer screening. Funding Medical Research Council, Cancer Research UK, Department of Health, The Eve Appeal.
PLOS ONE | 2009
Andrew E. Teschendorff; Usha Menon; Aleksandra Gentry-Maharaj; Susan J. Ramus; Simon A. Gayther; Sophia Apostolidou; Allison Jones; Matthias Lechner; Stephan Beck; Ian Jacobs; Martin Widschwendter
Background Recent studies have shown that DNA methylation (DNAm) markers in peripheral blood may hold promise as diagnostic or early detection/risk markers for epithelial cancers. However, to date no study has evaluated the diagnostic and predictive potential of such markers in a large case control cohort and on a genome-wide basis. Principal Findings By performing genome-wide DNAm profiling of a large ovarian cancer case control cohort, we here demonstrate that active ovarian cancer has a significant impact on the DNAm pattern in peripheral blood. Specifically, by measuring the methylation levels of over 27,000 CpGs in blood cells from 148 healthy individuals and 113 age-matched pre-treatment ovarian cancer cases, we derive a DNAm signature that can predict the presence of active ovarian cancer in blind test sets with an AUC of 0.8 (95% CI (0.74–0.87)). We further validate our findings in another independent set of 122 post-treatment cases (AUC = 0.76 (0.72–0.81)). In addition, we provide evidence for a significant number of candidate risk or early detection markers for ovarian cancer. Furthermore, by comparing the pattern of methylation with gene expression data from major blood cell types, we here demonstrate that age and cancer elicit common changes in the composition of peripheral blood, with a myeloid skewing that increases with age and which is further aggravated in the presence of ovarian cancer. Finally, we show that most cancer and age associated methylation variability is found at CpGs located outside of CpG islands. Significance Our results underscore the potential of DNAm profiling in peripheral blood as a tool for detection or risk-prediction of epithelial cancers, and warrants further in-depth and higher CpG coverage studies to further elucidate this role.
PLOS ONE | 2008
Martin Widschwendter; Sophia Apostolidou; Elke Raum; Dietrich Rothenbacher; Heidi Fiegl; Usha Menon; Christa Stegmaier; Ian Jacobs; Hermann Brenner
Background Epigenetic changes are emerging as one of the most important events in carcinogenesis. Two alterations in the pattern of DNA methylation in breast cancer (BC) have been previously reported; active estrogen receptor-α (ER-α) is associated with decreased methylation of ER-α target (ERT) genes, and polycomb group target (PCGT) genes are more likely than other genes to have promoter DNA hypermethylation in cancer. However, whether DNA methylation in normal unrelated cells is associated with BC risk and whether these imprints can be related to factors which can be modified by the environment, is unclear. Methodology/Principal Findings Using quantitative methylation analysis in a case-control study (n = 1,083) we found that DNA methylation of peripheral blood cell DNA provides good prediction of BC risk. We also report that invasive ductal and invasive lobular BC is characterized by two different sets of genes, the latter particular by genes involved in the differentiation of the mesenchyme (PITX2, TITF1, GDNF and MYOD1). Finally we demonstrate that only ERT genes predict ER positive BC; lack of peripheral blood cell DNA methylation of ZNF217 predicted BC independent of age and family history (odds ratio 1.49; 95% confidence interval 1.12–1.97; P = 0.006) and was associated with ER-α bioactivity in the corresponding serum. Conclusion/Significance This first large-scale epigenotyping study demonstrates that DNA methylation may serve as a link between the environment and the genome. Factors that can be modulated by the environment (like estrogens) leave an imprint in the DNA of cells that are unrelated to the target organ and indicate the predisposition to develop a cancer. Further research will need to demonstrate whether DNA methylation profiles will be able to serve as a new tool to predict the risk of developing chronic diseases with sufficient accuracy to guide preventive measures.
Journal of Clinical Oncology | 2015
Usha Menon; Andrew M. Ryan; Jatinderpal Kalsi; Aleksandra Gentry-Maharaj; Anne Dawnay; Mariam Habib; Sophia Apostolidou; Naveena Singh; Elizabeth Benjamin; Matthew Burnell; Susan Davies; Aarti Sharma; Richard Gunu; Keith M. Godfrey; Alberto Lopes; David Oram; Jonathan Herod; Karin Williamson; Mourad W. Seif; Howard Jenkins; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Nazar Najib Amso; Simon Leeson; Derek Cruickshank; Ian A. Scott; Lesley Fallowfield; Martin Widschwendter
Purpose Cancer screening strategies have commonly adopted single-biomarker thresholds to identify abnormality. We investigated the impact of serial biomarker change interpreted through a risk algorithm on cancer detection rates. Patients and Methods In the United Kingdom Collaborative Trial of Ovarian Cancer Screening, 46,237 women, age 50 years or older underwent incidence screening by using the multimodal strategy (MMS) in which annual serum cancer antigen 125 (CA-125) was interpreted with the risk of ovarian cancer algorithm (ROCA). Women were triaged by the ROCA: normal risk, returned to annual screening; intermediate risk, repeat CA-125; and elevated risk, repeat CA-125 and transvaginal ultrasound. Women with persistently increased risk were clinically evaluated. All participants were followed through national cancer and/or death registries. Performance characteristics of a single-threshold rule and the ROCA were compared by using receiver operating characteristic curves. Results After 296,911 women-years of annual incidence screening, 640 women underwent surgery. Of those, 133 had primary invasive epithelial ovarian or tubal cancers (iEOCs). In all, 22 interval iEOCs occurred within 1 year of screening, of which one was detected by ROCA but was managed conservatively after clinical assessment. The sensitivity and specificity of MMS for detection of iEOCs were 85.8% (95% CI, 79.3% to 90.9%) and 99.8% (95% CI, 99.8% to 99.8%), respectively, with 4.8 surgeries per iEOC. ROCA alone detected 87.1% (135 of 155) of the iEOCs. Using fixed CA-125 cutoffs at the last annual screen of more than 35, more than 30, and more than 22 U/mL would have identified 41.3% (64 of 155), 48.4% (75 of 155), and 66.5% (103 of 155), respectively. The area under the curve for ROCA (0.915) was significantly (P = .0027) higher than that for a single-threshold rule (0.869). Conclusion Screening by using ROCA doubled the number of screen-detected iEOCs compared with a fixed cutoff. In the context of cancer screening, reliance on predefined single-threshold rules may result in biomarkers of value being discarded.
International Journal of Cancer | 2009
Martin Widschwendter; Sophia Apostolidou; Allison Jones; Evangelia Fourkala; Rupali Arora; Celeste Leigh Pearce; Melissa A. Frasco; A. Ayhan; M. Zikan; David Cibula; Cem Iyibozkurt; Ekrem Yavuz; Cornelia Hauser-Kronberger; Louis Dubeau; Usha Menon; Ian Jacobs
DNA methylation of polycomb group target (PCGT) genes is an early step in carcinogenesis and could potentially be assayed to determine cancer risk prediction. To assess whether methylation changes in PCGT genes in normal tissue is able to predict the presence of cancer, we studied HOXA gene methylation in normal endometrium from premenopausal ovarian cancer patients and age‐matched healthy controls without ovarian cancer. DNA methylation of HOXA9 and HOXA11 genes in normal endometrium was associated with ovarian cancer in an initial test set and this was subsequently confirmed in independent validation sample sets. The overall risk of ovarian cancer was increased 12.3‐fold by high HOXA9 methylation for all stages, and 14.8‐fold for early stage ovarian cancers, independent of age, phase of the menstrual cycle and histology of the cancer. The results of this proof of principle study demonstrate the potential to detect ovarian cancer via analysis of normal endometrial cells and provide insight into the possible contribution of this novel approach in ovarian cancer risk prediction and prevention.
Clinical Cancer Research | 2015
Darragh P. O'Brien; Neomal S. Sandanayake; Claire Jenkinson; Aleksandra Gentry-Maharaj; Sophia Apostolidou; Evangelia-Ourania Fourkala; Stephane Camuzeaux; Oleg Blyuss; Richard Gunu; Anne Dawnay; Alexey Zaikin; Ross C. Smith; Ian Jacobs; Usha Menon; Eithne Costello; Stephen P. Pereira; John F. Timms
Purpose: Biomarkers for the early detection of pancreatic cancer are urgently needed. The primary objective of this study was to evaluate whether increased levels of serum CA19-9, CA125, CEACAM1, and REG3A are present before clinical presentation of pancreatic cancer and to assess the performance of combined markers for early detection and prognosis. Experimental Design: This nested case–control study within the UKCTOCS included 118 single and 143 serial serum samples from 154 postmenopausal women who were subsequently diagnosed with pancreatic cancer and 304 matched noncancer controls. Samples were split randomly into independent training and test sets. CA19-9, CA125, CEACAM1, and REG3A were measured using ELISA and/or CLIA. Performance of markers to detect cancers at different times before diagnosis and for prognosis was evaluated. Results: At 95% specificity, CA19-9 (>37 U/mL) had a sensitivity of 68% up to 1 year, and 53% up to 2 years before diagnosis. Combining CA19-9 and CA125 improved sensitivity as CA125 was elevated (>30 U/mL) in approximately 20% of CA19-9–negative cases. CEACAM1 and REG3A were late markers adding little in combined models. Average lead times of 20 to 23 months were estimated for test-positive cases. Prediagnostic levels of CA19-9 and CA125 were associated with poor overall survival (HR, 2.69 and 3.15, respectively). Conclusions: CA19-9 and CA125 have encouraging sensitivity for detecting preclinical pancreatic cancer, and both markers can be used as prognostic tools. This work challenges the prevailing view that CA19-9 is upregulated late in the course of pancreatic cancer development. Clin Cancer Res; 21(3); 622–31. ©2014 AACR.
International Journal of Cancer | 2009
Sophia Apostolidou; Richard Hadwin; Matthew Burnell; Allison Jones; Donna Baff; Nitisha Pyndiah; Tim Mould; Ian Jacobs; Simon Beddows; Gabrijela Kocjan; Martin Widschwendter
Cervical cancer is the second most common type of cancer in women worldwide. Preinvasive disease can be detected by cervical cytology. All currently available cytology technologies rely on the visual analysis of exfoliated cells from the uterine cervix. Improvement of conventional cytological screening has been proposed by the introduction of molecular‐based markers applied to liquid‐based cytology (LBC), the suspension of cells collected from the cervix. DNA methylation changes occur very early in carcinogenesis and identification of appropriate DNA methylation markers in such samples should be able to distinguish high‐grade squamous intraepithelial lesions (HSIL) from nonspecific cytology changes and the normal cervix. To address this potential, we have undertaken a proof‐of‐principle study of methylation status of LBC samples from HSIL cytology cases compared against matched normal controls. Using quantitative methylation‐specific PCR on 28 genes, we found SOX1, HOXA11 and CADM1 to significantly discriminate between the groups analyzed (p < 0.01). Area under the receiver operating characteristic (ROC) curve (AUC) demonstrated that methylation of SOX1, HOXA11 and CADM1 could discriminate between HSIL cases and controls with high sensitivity and specificity (AUC 0.910, 0.844 and 0.760, respectively). The results were further validated in an independent set. This proof‐of‐principle study is the first to validate the results in an independent case/control set and presents HOXA11, a gene that is important for cervical development, as a potentially useful DNA marker in LBC samples. Further assessment of these preliminary estimates will need to be performed in a larger cohort to confirm clinical utility.
International Journal of Molecular Medicine | 2011
Ourania Koukoura; Stavros Sifakis; Giannoula Soufla; Apostolos Zaravinos; Sophia Apostolidou; Allison Jones; Martin Widschwendter; Demetrios A. Spandidos
The objective of this study was to investigate the hypothesis that the altered epigenetic mechanisms that regulate IGF2 imprinting in placentas from fetal growth restricted (FGR) pregnancies affect IGF2 expression leading to impaired fetal growth. We investigated gene transcription, genotyping and the methylation patterns of IGF2 from 31 and 17 placentas from FGR-complicated and normal pregnancies, respectively. A statistically significant decrease in IGF2 mRNA levels was observed in the placentas from the FGR pregnancies. Loss of imprinting (LOI) was only detected in the abnormal placentas. The evaluation of the percentage of the methylated reference (PMR) of two different potentially differentially methylated regions (DMR) demonstrated significant PMR values in both sites for the normal and FGR pregnancies with no significant differences. Our results suggest the involvement of the IGF2 imprinted gene in placental function and fetal growth and the possible association of epigenetic alterations with the pathophysiology of fetal growth restriction.
Ultrasound in Obstetrics & Gynecology | 2012
Aarti Sharma; Sophia Apostolidou; Matthew Burnell; Stewart Campbell; Mariam Habib; A Gentry-Maharaj; Nazar Najib Amso; Mourad W. Seif; Gwendolen Fletcher; N. Singh; Elizabeth Benjamin; Carol Brunell; Gill Turner; Rani Rangar; Keith M. Godfrey; David H. Oram; Jonathan Herod; Karin Williamson; Howard Jenkins; Tim Mould; Robert Woolas; John Murdoch; Stephen Dobbs; Simon Leeson; Derek Cruickshank; Evangelia-Ourania Fourkala; Andrew M. Ryan; M. Parmar; Ian Jacobs; Usha Menon
To estimate the risk of primary epithelial ovarian cancer (EOC) and slow growing borderline or Type I and aggressive Type II EOC in postmenopausal women with adnexal abnormalities on ultrasound.
Placenta | 2011
Ourania Koukoura; Stavros Sifakis; Apostolos Zaravinos; Sophia Apostolidou; Allison Jones; J. Hajiioannou; Martin Widschwendter; D.A. Spandidos
The expression of imprinted genes is regulated by epigenetic modifications, such as DNA methylation. Many imprinted genes are expressed in the placenta and affect nutrient transfer capacity of the placental exchange barrier. The H19 gene is abundantly expressed by the human placenta and is implicated in the pathogenesis of congenital growth disorders such as Beckwith-Wiedemann (BWS) and Silver-Russell (SRS) syndromes. The aim of this study was to investigate the role of DNA methylation on H19 transcription and imprinting, in the pathophysiology of fetal growth restriction (FGR). Thirty one and 17 placentas from FGR-complicated and normal pregnancies were collected, respectively. We studied gene transcription, genotyping and methylation analysis of the AluI H19 on exon 5 polymorphism. Placental expression levels of H19 were significantly increased in the FGR group. The H19 mRNA levels were similar between normal placental samples that demonstrated loss and maintenance of imprinting. Placentas from growth-restricted pregnancies had lower methylation levels compared to normals, in the H19 promoter region. We have demonstrated an increased H19 transcription in the FGR group of placentas. The hypomethylation of the H19 promoters is compatible with the aberrant expression. The association of these two findings is reported for the first time in placental tissues, however, its significance remains unknown. Whether the results of this study represent an adaptation of the placenta to hypoperfusion, or they are part of FGR pathophysiology has to be further investigated.